Computer Rating System Prediction Results for College Football (NCAA IA)
2008 Season Totals
| System |
Pct. Correct |
Against Spread |
Absolute Error |
Bias |
Mean Square Error |
games |
suw |
sul |
atsw |
atsl |
| Anderson/Hester * | 0.70710 | 0.47748 | 13.8421 | -1.3609 | 320.219 | 338 | 239 | 99 | 159 | 174 |
| ARGH Power Ratings | 0.73259 | 0.47858 | 13.2695 | 0.1560 | 288.412 | 718 | 526 | 192 | 324 | 353 |
| Ashby AccuRatings | 0.73816 | 0.46875 | 13.1393 | 0.4153 | 279.280 | 718 | 530 | 188 | 315 | 357 |
| Atomic Football | 0.75209 | 0.49215 | 12.8479 | 0.0911 | 266.434 | 718 | 540 | 178 | 345 | 356 |
| Bassett Model | 0.69948 | 0.47803 | 13.3794 | -0.1183 | 290.850 | 579 | 405 | 174 | 272 | 297 |
| Beck Elo | 0.72284 | 0.47863 | 13.4931 | -0.4882 | 294.166 | 718 | 519 | 199 | 336 | 366 |
| Bihl System | 0.73708 | 0.50114 | 13.0810 | -0.3526 | 274.910 | 445 | 328 | 117 | 219 | 218 |
| Billingsly | 0.68663 | 0.45739 | 14.4297 | -0.5499 | 335.311 | 718 | 493 | 225 | 322 | 382 |
| Born Power Index | 0.72981 | 0.50710 | 13.2065 | -0.1040 | 280.310 | 718 | 524 | 194 | 357 | 347 |
| Catherwood Ratings | 0.70455 | 0.51701 | 13.0714 | -0.5325 | 279.343 | 308 | 217 | 91 | 152 | 142 |
| Colley Rankings * | 0.70175 | 0.47917 | 13.9185 | -0.9162 | 320.895 | 342 | 240 | 102 | 161 | 175 |
| Computer Adjusted Line | 0.73816 | 0.47893 | 12.6072 | 0.0738 | 256.741 | 718 | 530 | 188 | 125 | 136 |
| Covers.com | 0.73538 | 0.50857 | 13.0702 | -0.5363 | 278.854 | 718 | 528 | 190 | 356 | 344 |
| CPA Rankings | 0.74930 | 0.52489 | 13.3203 | -0.2382 | 289.026 | 718 | 538 | 180 | 369 | 334 |
| CPA Retro | 0.71588 | 0.48153 | 14.1334 | -0.1177 | 326.773 | 718 | 514 | 204 | 339 | 365 |
| Dave Congrove | 0.72423 | 0.50356 | 13.2581 | -0.8393 | 285.592 | 718 | 520 | 198 | 354 | 349 |
| Dokter Entropy | 0.74652 | 0.47585 | 13.1575 | 0.5936 | 281.082 | 718 | 536 | 182 | 335 | 369 |
| DP Dwiggins | 0.71429 | 0.50903 | 13.5109 | -3.0640 | 296.301 | 567 | 405 | 162 | 282 | 272 |
| Dunkel Index | 0.73603 | 0.50427 | 12.9018 | 0.6649 | 273.168 | 716 | 527 | 189 | 354 | 348 |
| Edward Kambour | 0.74591 | 0.49469 | 13.3416 | 0.4994 | 287.046 | 673 | 502 | 171 | 326 | 333 |
| Hank Trexler | 0.72981 | 0.47939 | 13.0362 | -0.3343 | 275.688 | 718 | 524 | 194 | 314 | 341 |
| Harmon Forcast | 0.73780 | 0.49178 | 12.9010 | -0.1646 | 270.614 | 717 | 529 | 188 | 329 | 340 |
| Howell | 0.72563 | 0.49102 | 13.3831 | -0.0236 | 291.982 | 718 | 521 | 197 | 328 | 340 |
| Imes Comprank | 0.72331 | 0.48308 | 13.7986 | -0.3628 | 304.556 | 665 | 481 | 184 | 314 | 336 |
| Keeper | 0.73120 | 0.48295 | 13.4905 | 0.4086 | 288.850 | 718 | 525 | 193 | 340 | 364 |
| Laz Index | 0.74234 | 0.50285 | 13.1206 | -0.6036 | 282.273 | 718 | 533 | 185 | 353 | 349 |
| Least Squares w/ HFA | 0.65789 | 0.49258 | 16.1102 | -1.1122 | 412.168 | 342 | 225 | 117 | 166 | 171 |
| Lee Burdorf | 0.73677 | 0.49785 | 13.2455 | -0.3589 | 281.820 | 718 | 529 | 189 | 348 | 351 |
| Line (opening) | 0.72905 | 0.47458 | 12.7884 | 0.0216 | 264.500 | 716 | 522 | 194 | 280 | 310 |
| Line (updated) | 0.73816 | | 12.5912 | 0.1024 | 255.867 | 718 | 530 | 188 | | |
| Linear Regression | 0.74561 | 0.50148 | 13.3796 | -0.8116 | 288.757 | 342 | 255 | 87 | 169 | 168 |
| Logistic Regression | 0.67251 | 0.49852 | 19.9079 | -4.7427 | 967.244 | 342 | 230 | 112 | 168 | 169 |
| Marsee | 0.72065 | 0.49606 | 13.5691 | 1.3284 | 298.360 | 673 | 485 | 188 | 315 | 320 |
| Martien Maas | 0.70221 | 0.49487 | 14.0884 | -0.1875 | 328.068 | 497 | 349 | 148 | 241 | 246 |
| Massey BCS * | 0.71637 | 0.49258 | 13.5732 | -0.8457 | 313.232 | 342 | 245 | 97 | 166 | 171 |
| Massey Consensus | 0.74095 | 0.49148 | 13.6242 | 0.1080 | 300.364 | 718 | 532 | 186 | 346 | 358 |
| Moore Power Ratings | 0.74373 | 0.49148 | 13.1593 | -0.4516 | 281.757 | 718 | 534 | 184 | 346 | 358 |
| Nutshell Girl | 0.70760 | 0.50742 | 13.5932 | -1.5051 | 302.535 | 342 | 242 | 100 | 171 | 166 |
| NutShell Retro | 0.71727 | 0.47937 | 13.5750 | 0.0755 | 299.352 | 718 | 515 | 203 | 337 | 366 |
| NutShell Sports | 0.74373 | 0.50852 | 13.1522 | 0.0385 | 283.134 | 718 | 534 | 184 | 358 | 346 |
| PerformanZ Ratings | 0.73955 | 0.47511 | 13.9043 | -0.4733 | 308.905 | 718 | 531 | 187 | 334 | 369 |
| Pigskin Index | 0.73625 | 0.45692 | 13.0734 | -0.2268 | 275.667 | 709 | 522 | 187 | 297 | 353 |
| Sagarin | 0.73677 | 0.48506 | 13.3644 | -0.4172 | 291.403 | 718 | 529 | 189 | 341 | 362 |
| Sagarin Elo | 0.70613 | 0.48011 | 14.1104 | -0.3101 | 326.758 | 718 | 507 | 211 | 338 | 366 |
| Sagarin Predictive | 0.73677 | 0.49716 | 13.2170 | -0.4181 | 280.841 | 718 | 529 | 189 | 350 | 354 |
| Sportrends | 0.69350 | 0.49564 | 14.8414 | -1.3575 | 367.346 | 708 | 491 | 217 | 341 | 347 |
| Stat Fox | 0.74791 | 0.53881 | 12.8705 | 0.9515 | 273.741 | 718 | 537 | 181 | 361 | 309 |
| Stephen Kerns | 0.72385 | 0.53912 | 13.6591 | -2.9885 | 305.183 | 717 | 519 | 198 | 379 | 324 |
| Super List | 0.73398 | 0.48222 | 15.3791 | 0.4898 | 369.664 | 718 | 527 | 191 | 339 | 364 |
| System Average | 0.75487 | 0.48080 | 12.9140 | -0.2240 | 270.949 | 718 | 542 | 176 | 338 | 365 |
| System Median | 0.75487 | 0.48058 | 12.8794 | -0.2401 | 270.866 | 718 | 542 | 176 | 334 | 361 |
| Tom Benson | 0.69923 | 0.48148 | 14.6618 | -1.0881 | 347.855 | 522 | 365 | 157 | 247 | 266 |
| Warren Claassen | 0.72563 | 0.49075 | 14.0176 | -1.0525 | 316.050 | 718 | 521 | 197 | 345 | 358 |
| Wolfe * | 0.70175 | 0.51039 | 14.0233 | -0.3427 | 329.651 | 342 | 240 | 102 | 172 | 165 |
* This system does not make predictions. I make predictions for this
system by translating it to a new scale that allows for making predictions.
Retrodictive records are found by taking the ratings from the current week
and applying them to the entire season to date.
The ideal system would be one that has the highest correct game decisions,
has the smallest mean error(deviation from the actual game result), and has
a bias of zero.
Mean Error = average[abs(prediction-actual)]
Bias = agerage(prediction - actual)
Std. = Standard Deviation of individual game biases